Micron technology
Customer Systems Engineering Intern
Overview
As a Customer Systems Engineering Intern, you will gain hands-on experience supporting enterprise storage products throughout their lifecycle. You will work with cross-functional teams to investigate technical issues, assist with customer qualifications, analyze product failures, and develop innovative AI-enabled solutions that improve engineering workflows.
About Micron technology
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Requirements & Eligibility
- Currently pursuing a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
- Strong understanding of computer systems and storage technology, including processors, memory, operating systems, drivers, firmware, and hardware/software interactions.
- Experience programming in C and Python.
- Strong analytical, troubleshooting, and problem-solving skills.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- Excellent written and verbal communication skills.
- Self-motivated with a passion for learning and continuous improvement.
- Experience using AI tools and large language models such as Copilot, Claude, Gemini, or similar technologies.
Key Responsibilities
- Develop AI-enhanced tools and solutions that improve engineering efficiency and streamline Customer Systems Engineering workflows.
- Partner with customers, customer-facing teams, and internal engineering organizations to support product qualification and deployment activities.
- Assist with firmware release processes, firmware management, and customer qualification efforts.
- Support failure analysis activities for returned products during high-volume manufacturing and customer deployments.
- Investigate customer-reported issues and collaborate with engineering teams to drive technical problems to resolution.
- Analyze system-level behavior and identify opportunities for process improvements.
- Create and present technical findings, recommendations, and project updates to stakeholders.
- Leverage modern AI tools and large language models to improve productivity and innovation within engineering processes.
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